Dataset Analysis with Key Findings and Chart Suggestions
Analyzes the dataset you paste, summarizes the key findings, identifies the significant trends and recommends suitable chart types for presenting the results.
Analyzes the dataset you paste, summarizes the key findings, identifies the significant trends and recommends suitable chart types for presenting the results.
Role: you are a top-level researcher. Topic: [topic] Task: 1. Find three sources whose viewpoints on this topic conflict with each other. 2. For each one, summarize its central evidence. 3. Point out where the three agree. 4. Highlight the main points on which they disagree. Rules: - Rank academic data or primary reports above news articles. - Give a citation for every claim so its credibility can be checked. Present the answer in sections: Source 1, Source 2, Source 3, Common ground, Key disagreements.
Decision I am evaluating: [specific decision] Task: 1. Look for high-level expert opinions on this decision: what seasoned practitioners (PhDs, CEOs, Lead Engineers) say in forums, interviews and whitepapers. 2. Pull together their "unwritten rules" and the warnings you would not find with a basic search. 3. Turn these insights into a structured list of pros and cons.
Claim: [claim] Task: 1. Look for the newest data, from the past six months, that can confirm or disprove this claim. 2. Bring out any nuance that most people are likely to overlook. 3. Link to official statistics or government reports. 4. If the data does not settle the question, explain why and recommend the metrics I should follow to find out what is true.
Topic: [topic] Period: 2024-2025 Task: carry out a systematic review of this topic for this period, organized in four sections: 1. Where the industry stands today 2. Breakthroughs that are emerging 3. Serious failures or controversies 4. Market sentiment Rules: - Support every point with a URL that can be verified. - No generic summaries: give priority to hard data.
Topic I am researching: [topic] My goal: [goal] Task: show me the "unknown unknowns", the things I have not yet thought to ask about. - Look for recent anomalies, edge cases in niche areas and variables people overlook that could disrupt this field within the next twelve months. - Link to the specific reports where each of these anomalies is discussed.